{"id":"W2790223096","doi":"10.1097/01.nnd.0000320686.49684.c6","title":"Staff Development Story","year":2008,"lang":"en","type":"article","venue":"Journal for Nurses in Staff Development","topic":"Health Sciences Research and Education","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"St. Clair College","funders":"","keywords":"Psychology; Library science; Medical education; Gerontology; Medicine; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01199051,0.0007697271,0.0004068631,0.0007928472,0.008520627,0.008371008,0.002181505,0.006906522,0.03091297],"category_scores_gemma":[0.04759483,0.0004867799,0.0007158895,0.001052614,0.002875064,0.005027052,0.005094498,0.01350031,0.01892267],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007144744,"about_ca_system_score_gemma":0.01916712,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0143968,"about_ca_topic_score_gemma":0.03037939,"domain_scores_codex":[0.9822493,0.006459359,0.0006206238,0.0009266517,0.007911257,0.001832836],"domain_scores_gemma":[0.9614834,0.006311277,0.0008389858,0.001417377,0.01526816,0.01468088],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001325517,0.00001813886,0.0002298565,0.00004255577,0.000004287577,0.0001051358,0.000697999,0.0000178782,0.00003984574,0.003265242,0.9789149,0.01665098],"study_design_scores_gemma":[0.00000529038,0.00001645269,0.0003214094,0.00008395804,0.00000210603,0.000211228,0.001115382,0.00002185061,0.00004359938,0.0007129618,0.9974584,0.000007403158],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002012413,0.003704949,0.001528334,0.8789102,0.03022232,0.00004467794,0.0003172196,0.0003820269,0.08287791],"genre_scores_gemma":[0.04742302,0.007324961,0.002523037,0.6334917,0.01081752,0.000215043,0.0006576176,0.0006250119,0.2969221],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03091297,"threshold_uncertainty_score":0.1034142,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1849812087164413,"score_gpt":0.4977269883769082,"score_spread":0.3127457796604669,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}